Introducing Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomaly Detection

15 Pages Posted: 12 Sep 2016

See all articles by Julie Greensmith

Julie Greensmith

University of Nottingham - School of Computer Science

Uwe Aickelin

University of Melbourne - School of Computing and Information Systems

Steve Cayzer

Hewlett-Packard Laboratories

Date Written: January 1, 2005

Abstract

Dendritic cells are antigen presenting cells that provide a vital link between the innate and adaptive immune system. Research into this family of cells has revealed that they perform the role of coordinating Tcell based immune responses, both reactive and for generating tolerance. We have derived an algorithm based on the functionality of these cells, and have used the signals and differentiation pathways to build a control mechanism for an artificial immune system. We present our algorithmic details in addition to some preliminary results, where the algorithm was applied for the purpose of anomaly detection. We hope that this algorithm will eventually become the key component within a large, distributed immune system, based on sound immunological concepts.

Suggested Citation

Greensmith, Julie and Aickelin, Uwe and Cayzer, Steve, Introducing Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomaly Detection (January 1, 2005). Available at SSRN: https://ssrn.com/abstract=2832073 or http://dx.doi.org/10.2139/ssrn.2832073

Julie Greensmith

University of Nottingham - School of Computer Science ( email )

Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB
United Kingdom

Uwe Aickelin (Contact Author)

University of Melbourne - School of Computing and Information Systems ( email )

Australia

Steve Cayzer

Hewlett-Packard Laboratories ( email )

1501 Page Mill Road
Palo Alto, CA 94304
United States

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